Our algorithms tackle a varied & broad spectrum of challenges in the Wayfair marketplace; from empowering suppliers to easily add products to our catalog, to enabling our customers to discover and purchase a vast & diverse assortment of home goods. The Search & Recommendations Machine Learning Science team is looking for an experienced Machine Learning Senior Manager to lead one of Wayfair's recommendation science teams. In this role, you'll be part of the Search & Recommendations leadership. You'll lead a team of 5 to 10 machine learning scientists and machine learning engineers, leveraging customer behavior and Wayfair's content and product data to create a tailored customer experience. We are looking for a candidate who would lead the team to build and implement personalized product recommendations, customer understanding, and personalized content targeting strategies using cutting-edge machine learning and deep learning techniques.

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Who We Are At Wayfair, our strong technology offerings help our customers find and order the perfect products for their needs, and it's our award-winning, in-house customer service team that brings a human touch and empathy to help build brand trust and customer loyalty. Our Customer Service team has offices in Galway, Berlin and EU Virtual teams and our focus is continuously innovating and improving to offer the Best in Class Customer Experience. The'Create Standards' team leverages a creative approach and quantitative skills to answer high-level business and strategy questions that are most impactful to create the best possible customer experience through designing journeys to enable us to provide the highest level of care. This team is highly cross-functional and working in close partnership with Senior leadership and global stakeholders to solve the most complex problems across a variety of operational workstreams. The Create team is an internal team that acts as a lighthouse for the wider business, that seeks to make improvements by shining the light on the true customer experience, learning from the good and the bad and driving change through people allocation, processes, and technology.